Applications
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
DGX agentarXiv:2512.13040v2 Announce Type: replace-cross Abstract: Detecting fraud in financial transactions typically relies on tabular models that demand heavy feature engineering to handle high-dimensional